Medicinal Chemist, LeadFactor (AIDD) Full-time

Medicinal Chemist, LeadFactor (AIDD)

Posting Date: 09 Feb 2026 | Closing Date: 10 Apr 2026

Compound design: Contribute to the design of novel small molecules based on AI-generated hypotheses, structure-activity relationship (SAR) analysis, and in silico predictions (e.g., binding poses, ADMET properties).

Chemical synthesis: Devise multi-step organic synthesis strategies for target molecules, including route scouting, reaction optimization, purification, and analytical characterization, and identify and interact with CROs for compound purchasing and synthesis.

Lead optimization: Support lead optimization efforts through iterative design and synthesis, aiming to improve potency, selectivity, pharmacokinetics, and other key drug-like properties.

Data analysis & interpretation: Analyze biological and physicochemical data, interpret SAR, and provide critical insights to guide future design efforts.

Collaboration: Work effectively within highly interdisciplinary teams, collaborating closely with computational chemists, AI/ML scientists, biologists, and pharmacologists.

Problem solving: Proactively identify and solve synthetic challenges and optimize chemical processes.

Documentation & presentation: Maintain meticulous records of experimental work, prepare reports, and present findings clearly and concisely to internal and external stakeholders.

A PhD in Medicinal Chemistry, Organic Chemistry, or a closely related field, with 3+ years of relevant postdoctoral or industry experience in drug discovery.

Demonstrated expertise in modern synthetic organic chemistry, including a broad range of reaction types and purification techniques.

A strong understanding of medicinal chemistry principles, including SAR, lead optimization strategies, and drug-likeness parameters.

Proven ability to design and synthesize novel compounds to address specific biological targets and achieve desired pharmacological profiles.

Experience with the use of standard computational tools for medicinal chemistry (e.g., ChemDraw, SciFinder, Reaxys, molecular visualization software).

An eagerness to integrate and work with AI/ML-driven design concepts and automated experimental platforms (e.g., automated synthesis, high-throughput screening).

Excellent problem-solving skills and a strong commitment to scientific rigor.

Outstanding communication, interpersonal, and teamwork skills.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.